TolerantGAN: Text-Guided Image Manipulation Tolerant to Real-World Image

TolerantGAN: Text-Guided Image Manipulation Tolerant to Real-World Image

Although text-guided image manipulation approaches have demonstrated highly accurate performance for editing the appearance of images in a virtual or simple scenario, their real-world applications face significant challenges. The primary cause of these challenges is the misalignment in the distribut...

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Bibliographic Details
Main Authors: Yuto Watanabe, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Open Journal of Signal Processing
Subjects:
Text-guided image manipulation
generative adversarial network
manipulation direction
out-of-domain data
Online Access:https://ieeexplore.ieee.org/document/10360283/

Internet

https://ieeexplore.ieee.org/document/10360283/

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